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Source channel @githubtrending · Post #14993 · Jul 24
#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch
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@edgemarketai · Post #7985 · 02/08/2026, 01:45 PM
🪙Trump × Crypto — will a coin launch by Feb 2026? The question is live on EdgeMarket. See how the community is positioning and how probabilities evolve over time 👇 👉https://edgemarket.ai/bnb/crypto-currencies/Trump%20launch%20a%20coin%20in%20February/statistics/698305baff612403d86bf27d #EdgeMarket#CryptoPredictions#Web3#MarketSignals#CryptoCommunity
@CryptoM · Post #65021 · 04/10/2026, 02:11 PM
🚀 Bitcoin's Potential Bear-Market 'Iron Bottom' Predicted by Analyst A CryptoQuant analyst has projected that Bitcoin might establish a bear-market 'iron bottom' within the $55,000–$60,000 range by the end of 2026. According to NS3.AI, this prediction is grounded in on-chain indicators, notably the MVRV Z-score, which has moderated but remains above negative levels. #Bitcoin#Crypto#BearMarket#CryptoAnalysis#MVRV#OnChainData#CryptoPredictions#BTC